Industrial Papers (Invited)

• 
  Minos N. Garofalakis, Rajeev Rastogi: Network Data Mining and Analysis: The NEMESIS Project. 1-12
• 
  Ramakrishnan Srikant: Privacy Preserving Data Mining: Challenges and Opportunities. 13

Survey Papers (Invited)

• 
  Jaideep Srivastava, Jau-Hwang Wang, Ee-Peng Lim, San-Yih Hwang: A Case for Analytical Customer Relationship Management. 14-27
• 
  Osmar R. Zaïane, Andrew Foss, Chi-Hoon Lee, Weinan Wang: On Data Clustering Analysis: Scalability, Constraints, and Validation. 28-39

Association Rules (I)

• 
  Jacinto Mata Vázquez, José Luis Álvarez Macías, José Cristóbal Riquelme Santos: Discovering Numeric Association Rules via Evolutionary Algorithm. 40-51
• 
  Jochen Hipp, Christoph Mangold, Ulrich Güntzer, Gholamreza Nakhaeizadeh: Efficient Rule Retrieval and Postponed Restrict Operations for Association Rule Mining. 52-65
• 
  Qin Ding, Qiang Ding, William Perrizo: Association Rule Mining on Remotely Sensed Images Using P-trees. 66-79
• 
  Vikram Pudi, Jayant R. Haritsa: On the Efficiency of Association-Rule Mining Algorithms. 80-91

Classification (I)

• 
  Jung-Yi Lin, Been-Chian Chien, Tzung-Pei Hong: A Function-Based Classifier Learning Scheme Using Genetic Programming. 92-103
• 
  Zhipeng Xie, Wynne Hsu, Zongtian Liu, Mong-Li Lee: SNNB: A Selective Neighborhood Based Naïve Bayes for Lazy Learning. 104-114
• 
  Lili Diao, Keyun Hu, Yuchang Lu, Chunyi Shi: A Method to Boost Naïve Bayesian Classifiers. 115-122
• 
  Charles X. Ling, Huajie Zhang: Toward Bayesian Classifiers with Accurate Probabilities. 123-134

Interestingness

• 
  Szymon Jaroszewicz, Dan A. Simovici: Pruning Redundant Association Rules Using Maximum Entropy Principle. 135-147
• 
  Wen-Yang Lin, Ming-Cheng Tseng, Ja-Hwung Su: A Confidence-Lift Support Specification for Interesting Associations Mining. 148-158
• 
  Marzena Kryszkiewicz, Marcin Gajek: Concise Representation of Frequent Patterns Based on Generalized Disjunction-Free Generators. 159-171
• 
  Show-Jane Yen, Yue-Shi Lee: Mining Interesting Association Rules: A Data Mining Language. 172-176
• 
  Robert J. Hilderman: The Lorenz Dominance Order as a Measure of Interestingness in KDD. 177-185

Sequence Mining

• 
  Minghua Zhang, Ben Kao, David Wai-Lok Cheung, Chi Lap Yip: Efficient Algorithms for Incremental Update of Frequent Sequences. 186-197
• 
  Ming-Yen Lin, Suh-Yin Lee, Sheng-Shun Wang: DELISP: Efficient Discovery of Generalized Sequential Patterns by Delimited Pattern-Growth Technology. 198-209
• 
  Jafar Adibi, Wei-Min Shen, Eaman Noorbakhsh: Self-Similarity for Data Mining and Predictive Modeling - A Case Study for Network Data. 210-217
• 
  Shun-Chieh Lin, Shian-Shyong Tseng, Yao-Tsung Lin: A New Mechanism of Mining Network Behavior. 218-223

Clustering

• 
  Michael K. Ng, Joshua Zhexue Huang: M-FastMap: A Modified FastMap Algorithm for Visual Cluster Validation in Data Mining. 224-236
• 
  Chien-Yu Chen, Shien-Ching Hwang, Yen-Jen Oyang: An Incremental Hierarchical Data Clustering Algorithm Based on Gravity Theory. 237-250
• 
  Ah-Hwee Tan, Hong Pan: Adding Personality to Information Clustering. 251-256
• 
  François-Xavier Jollois, Mohamed Nadif: Clustering Large Categorical Data. 257-263

Web Mining

• 
  Tong Zheng, Yonghe Niu, Randy Goebel: WebFrame: In Pursuit of Computationally and Cognitively Efficient Web Mining. 264-275
• 
  Bowo Prasetyo, Iko Pramudiono, Katsumi Takahashi, Masaru Kitsuregawa: Naviz : Website Navigational Behavior Visualizer. 276-289
• 
  Zhixiang Chen, Ada Wai-Chee Fu, Frank Chi-Hung Tong: Optimal Algorithms for Finding User Access Sessions from Very Large Web Logs. 290-296
• 
  Chia-Hui Chang, Shih-Chien Kuo, Kuo-Yu Huang, Tsung-Hsin Ho, Chih-Lung Lin: Automatic Information Extraction for Multiple Singular Web Pages. 297-303

Association Rules (II)

• 
  Honghua Dai, Gang Li: An Improved Approach for the Discovery of Causal Models via MML. 304-315
• 
  Ye-In Chang, Yu-Ming Hsieh: SETM*-MaxK: An Efficient SET-Based Approach to Find the Largest Itemset. 316-321
• 
  Sylvie Guillaume: Discovery of Ordinal Association Rules. 322-327
• 
  Tsau Young Lin, Y. Y. Yao, Eric Louie: Value Added Association Rules. 328-333
• 
  Ke Wang, Liu Tang, Jiawei Han, Junqiang Liu: Top Down FP-Growth for Association Rule Mining. 334-340

Semi-structure & Concept Mining

• 
  Tetsuhiro Miyahara, Yusuke Suzuki, Takayoshi Shoudai, Tomoyuki Uchida, Kenichi Takahashi, Hiroaki Ueda: Discovery of Frequent Tag Tree Patterns in Semistructured Web Documents. 341-355
• 
  Kazuyoshi Furukawa, Tomoyuki Uchida, Kazuya Yamada, Tetsuhiro Miyahara, Takayoshi Shoudai, Yasuaki Nakamura: Extracting Characteristic Structures among Words in Semistructured Documents. 356-367
• 
  Felix Cheung, Ben Kao, David Wai-Lok Cheung, Chi-Yuen Ng: An Efficient Algorithm for Incremental Update of Concept Spaces. 368-380

Data Warehouse and Data Cube

• 
  Cuiping Li, Sheng-En Li, Shan Wang, Xiaoyong Du: Efficient Constraint-Based Exploratory Mining on Large Data Cubes. 381-392
• 
  Don-Lin Yang, Man-Lin Huang, Ming-Chuan Hung: Efficient Utilization of Materialized Views in a Data Warehouse. 393-404

Bio-Data Mining

• 
  Ning Zhong, Juzhen Dong: Mining Interesting Rules in Meningitis Data by Cooperatively Using GDT-RS and RSBR. 405-416
• 
  Mukund Deshpande, George Karypis: Evaluation of Techniques for Classifying Biological Sequences. 417-431
• 
  Vincent Shin-Mu Tseng, Ching-Pin Kao: Efficiently Mining Gene Expression Data via Integrated Clustering and Validation Techniques. 432-437

Classification (II)

• 
  Yulan Liang, King-Ip Lin, Arpad Kelemen: Adaptive Generalized Estimation Equation with Bayes Classifier for the Job Assignment Problem. 438-449
• 
  William W. Hsu, Ching-Chi Hsu: GEC: An Evolutionary Approach for Evolving Classifiers. 450-455
• 
  Hongjian Fan, Kotagiri Ramamohanarao: An Efficient Single-Scan Algorithm for Mining Essential Jumping Emerging Patterns for Classification. 456-462
• 
  Lili Diao, Keyun Hu, Yuchang Lu, Chunyi Shi: A Method to Boost Support Vector Machines. 463-468

Temporal Mining

• 
  Xiaoming Jin, Yuchang Lu, Chunyi Shi: Distribution Discovery: Local Analysis of Temporal Rules. 469-480
• 
  Gabriel Pui Cheong Fung, Jeffrey Xu Yu, Wai Lam: News Sensitive Stock Trend Prediction. 481-493
• 
  Dit-Yan Yeung, Yuxin Ding: User Profiling for Intrusion Detection Using Dynamic and Static Behavioral Models. 494-505

Classification (III)

• 
  Lee-Feng Chien, Chien-Kang Huang, Hsin-Chen Chiao, Shih-Jui Lin: Incremental Extraction of Keyterms for Classifying Multilingual Documents in the Web. 506-516
• 
  Maleq Khan, Qin Ding, William Perrizo: k-nearest Neighbor Classification on Spatial Data Streams Using P-trees. 517-518
• 
  Jianchao Han, Nick Cercone: Interactive Construction of Classification Rules. 529-534

Outliers, Missing Data, and Causation

• 
  Jian Tang, Zhixiang Chen, Ada Wai-Chee Fu, David Wai-Lok Cheung: Enhancing Effectiveness of Outlier Detections for Low Density Patterns. 535-548
• 
  Yoshikazu Fujikawa, Tu Bao Ho: Cluster-Based Algorithms for Dealing with Missing Values. 549-554
• 
  Ki Chan, Boon Toh Low, Wai Lam, Kai-Pui Lam: Extracting Causation Knowledge from Natural Language Texts. 555-560
• 
  Kok-Leong Ong, Wee Keong Ng, Ee-Peng Lim: Mining Relationship Graphs for Effective Business Objectives. 561-566

last updated on Sat May 18 05:26:47 2013 by the dblp team
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